Published in SN Computer Science
Event-scheduling algorithms can compute in continuous time the next occurrence of points (as events) of a counting process based on their current conditional intensity. In particular, event-scheduling algorithms can be adapted to perform the simulation of finite neuronal networks activity. These algorithms are based on Ogata’s thinning strategy (Og...
Published in SN Computer Science
We investigate micro data-centers systems with intermittent energy (due to solar panels or price of energy) which balance their jobs to mitigate these fluctuations. The model is based on energy packet networks recently proposed by E. Gelenbe and his colleagues. These models explicitly represent both energy and data processing in a combined stochast...
Published in SN Computer Science
On the occasion of the celebration in 2019 of the 100th anniversary of official French–Polish Scientific Collaboration, this paper explores the origins and outcomes of a scientific collaboration that we launched in the 1980s together with the late Professor Stefan Wȩgrzyn of the Polytechnic University of Silesia in Gliwice, Poland, Founding Directo...
Published in SN Computer Science
The aim of the article is to contribute to the modeling and evaluation of TCP/IP traffic control in case of active queue management mechanisms implemented in congestion router. We consider mechanisms based on RED and fractional-order PIα\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb...
Published in SN Computer Science
A thorough knowledge of statistical properties of the coronary artery tree is very important in cardiology. We present generalised form of Murray’s law—the first law that described the relationship between vessel diameters in bifurcation. We show that other frequently used laws: Huo-Kassab and Finet’s rules are the special cases of its generalised ...
Published in SN Computer Science
Car-navigation system was recently established as an imperative utility for modern navigation on road networks. The rising wave of self-driving cars along with an increasing demand for real-time traffic data is expected to generate massive growth of routing requests and processing time on large graphs representing the urban networks. Therefore, lar...
Published in SN Computer Science
Great amount of stored information used in connection with Machine Learning and statistical methods enables high quality insight and analysis of data that leads to design of high precision predictive and classification systems. In the process of analysis, selection of most informative features is crucial for later quality of the designed system. In...
Published in SN Computer Science
The object of this research is an open queueing network (QN) with a single class of customers, in which the total number of customers is limited. Service parameters are dependent on time, the routing of customers is determined by an arbitrary stochastic transition probability matrix, which is also depends on time. The service times of customers in ...
Published in SN Computer Science
The usual three-node approximations for the first-order spatial derivatives in the radial basis functions-based finite difference (RBF-FD) scheme allows relatively smaller time step size than the standard scheme (forward difference in time and central difference in space) in obtaining stable results. In this paper, to better mimic the continuous mo...
Published in SN Computer Science
Device-to-device (D2D) communication is rapidly evolving into a viable method of information exchange in a cellular network. It has a very low end-to-end latency and can increase spectral efficiency of a cellular network. The latest releases of 3GPP specification have given considerable attention to standardize this mode of communication and integr...
